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Record W2801086284 · doi:10.5539/jfr.v7n4p7

Good Governance of Food Security in Nunavut

2018· article· en· W2801086284 on OpenAlexaffvenueabout
Karolina Stecyk

Bibliographic record

VenueJournal of Food Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAthabasca University
Fundersnot available
KeywordsMandateFood securityGovernment (linguistics)IndigenousFood insecurityCorporate governanceEconomic growthPolitical scienceState (computer science)AgricultureBusinessPublic administrationGeographyEconomicsEcologyFinance

Abstract

fetched live from OpenAlex

Food insecurity is not a new issue in Nunavut, Canada, but it is one that is not yet resolved. In Nunavut, the Government of Canada primarily through Indigenous and Northern Affairs Canada manages food security. In 2011, to aid the issue of food insecurity, the Government of Canada created the program called Nutrition North Canada (NNC). This paper will identify the values and mandate of Indigenous and Northern Affairs Canada and Government of Nunavut and state the current status, challenges, and health impact of food security in Nunavut. Lastly, it will determine if the Government of Canada is following the principles of good governance with the Nutrition North program, and suggest improving competencies like innovativeness, strategic thinking and building collaborative relationships by expanding agriculture and aquaculture in Nunavut to assist in tackling food insecurity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.007
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.133
GPT teacher head0.483
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2018
Admission routes3
Has abstractyes

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